Are You Asking the Right Questions in the New AI Era?

Story Highlights

Organizations need to create cultures that endorse and reward curiosity

Only companies that ask the right questions can use AI effectively

This article is the third in a series about how business leaders can become better prepared for managing the AI disruption.

The problem with human decision-making is that it's just plain undisciplined.

As Nobel laureate Daniel Kahneman says, "You should replace humans by algorithms whenever possible, and this is really happening. Even when the algorithms don't do very well, humans do so poorly and are so noisy that just by removing the noise you can do better than people ... by enforcing regularity and processes and discipline on judgment and on choice, you improve and you reduce the noise, and you improve performance because noise is so poisonous."

Kahneman's work has long shown the constraints of human decision-making, and he's one of the most convincing proponents of reliance on algorithms. However, even if AI beats us in the business of finding answers, humans are still better positioned to ask good questions.

It's an advantage we're likely to maintain in the long run because we're able to learn and draw conclusions from a small number of data points. It takes a modern machine learning algorithm requires many data points -- sometimes hundreds of thousands of them -- to learn to recognize simple objects. But a 3-year-old child can recognize a circle shape after a few repeated exercises. The capacity for imagination, creativity, linking remote concepts and making value-based and ethical judgments is uniquely human, uniquely valuable and uniquely constructive.

Now, how many organizational cultures encourage people to practice these valuable abilities? Is the person who constantly asks challenging questions more likely to climb the career ladder quickly or to earn the reputation of being a nuisance who stands in the way of getting work done? How often is the business intelligence department tasked with finding data to support a decision that's already been made, rather than charged with answering an open question? Who's more likely to get promoted, the person who proposes an idea that proves fruitless by an empirical test, or the person who just follows her boss' preference?

How often is genuine curiosity respected? How often is it discouraged?

It is worth noting that not all questions are created equal. In many large organizations, questions, if they are asked at all, are asked in a Socratic way. Leaders pose questions to guide employees' thinking, not to elicit information -- because the leader already knows the answer.

In the AI-powered environment, we need less Socrates. We need to ask questions that don't have immediate answers. AI can answer those questions better and faster than we can, anyway -- because we are always going to work in conditions with "poisonous noise," as Kahneman calls it. That's a consequence of working with and selling products to humans.

But, in most companies, people are at least a little afraid to ask questions. Most of us hesitate to express our thoughts, feelings and disagreements with our bosses. Implicitly or explicitly, some companies don't reward curiosity or even endorse it. Others actively discourage it. That's dangerous in today's world, where asking the right question is both a huge competitive advantage -- and one of the only things a human can do better than a machine.

To accept questions as an opportunity rather than a threat or a challenge, leaders need a certain kind of humbleness, which is the topic of the next article in this series.

Consider the following questions to probe your organization's readiness for the AI-powered business environment:-

Could a typical front-line employee explain the top three KPIs used to measure your business' progress toward your goals?

How easily can a front-line employee who is interested in testing an idea access business data that is otherwise not available to them?

What share of time during your typical leadership meetings is spent on presentations and reports, and what percentage on discussions and brainstorming?

Read thefirstandsecondarticles in this compelling seven-part series. The next article will discuss the steps business leaders can take to create a culture of confidence in the AI era.

Discover how your company can create a performance management system that helps your employees prepare for the AI era: